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Proceedings Paper

Wideband photonic A/D conversion using 2D spatial oversampling and spectral noise shaping
Author(s): Barry L. Shoop; Pankaj K. Das
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Paper Abstract

The analog-to-digital (A/D) interface is generally considered to be the most critical part of any signal acquisition and processing system. Because of the difficulty in achieving high-resolution and high-speed A/D converters, this A/D interface has been and continues to be a barrier to the realization of high-speed, high-throughput systems. Recently, there has been a renewed interest in new and innovative approaches to A/D conversion, with a significant emphasis on photonic techniques. Interleaving is a common approach applied to high-speed photonic A/D conversion which reduces the wide-bandwidth input signal to one which can be converted using conventional high-speed A/D converters. The high-speed sampled input is interleaved to N individual channels with each channel operating at 1/N of the sampling rate. These channelization techniques are known to suffer from performance degradations due to channel-to-channel mismatch. Within the electronic A/D converter community, temporal oversampling and spectral noise shaping have become common practice in high-fidelity audio applications. Here, a low-resolution quantizer is embedded in a feedback architecture in an effort to reduce the quantization noise through spectral noise shaping. A large error associated with a single sample is diffused over many subsequent samples and then linear filtering techniques are applied to remove the spectrally-shaped noise thereby improving the overall SNR of the converter. The approach to wideband photonic A//D conversion described here leverages the 2-D nature of an optical architecture to extend the concept of spectral noise shaping to include 2-D spatial nosie shaping. The proposed approach uses a mode-locked laser to generate the optical sampling pulses, an interferometer to modulate the electronic analog signal onto the optical pulses, and a 2-D smart pixel hardware implementation of a distributed error diffusion neural network.

Paper Details

Date Published: 27 December 2001
PDF: 20 pages
Proc. SPIE 4490, Multifrequency Electronic/Photonic Devices and Systems for Dual-Use Applications, (27 December 2001); doi: 10.1117/12.455441
Show Author Affiliations
Barry L. Shoop, U.S. Military Academy (United States)
Pankaj K. Das, U.S. Military Academy (United States)


Published in SPIE Proceedings Vol. 4490:
Multifrequency Electronic/Photonic Devices and Systems for Dual-Use Applications
Paul S. Idell; Stanley R. Czyzak; Andrew R. Pirich; Paul L. Repak; Paul S. Idell; Stanley R. Czyzak, Editor(s)

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